<?xml version="1.0"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.1 20050630//EN" "http://uploads.ingentaconnect.com/docs/dtd/ingenta-journalpublishing.dtd">
<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010410</journal-id>
      <journal-title>NIP &amp; Digital Fabrication Conference</journal-title>
      <abbrev-journal-title>nip digi fabric conf</abbrev-journal-title>
      <issn pub-type="ppub">2169-4451</issn><issn pub-type="epub"/>
      <publisher>
        <publisher-name>Society of Imaging Science and Technology</publisher-name>
        <publisher-loc>7003 Kilworth Lane, Springfield, VA 22151, USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta><article-id pub-id-type="doi">10.2352/ISSN.2169-4451.2011.27.1.art00096_2</article-id>
      <article-id pub-id-type="sici">2169-4451(20110101)2011:2L.784;1-</article-id>
      <article-id pub-id-type="publisher-id">nip_v2011n2/splitsection96.xml</article-id>
      <article-id pub-id-type="other">/ist/nipdf/2011/00002011/00000002/art00096</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Perception Guided Automatic Press Diagnosis</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Nachlieli</surname>
            <given-names>Hila</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Karni</surname>
            <given-names>Zachi</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Raz</surname>
            <given-names>Shaul</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>01</month>
        <year>2011</year>
      </pub-date>
      <volume>2011</volume>
      <issue>2</issue>
      <fpage>784</fpage>
      <lpage>787</lpage>
      <permissions>
        <copyright-year>2011</copyright-year>
      </permissions>
      <abstract>
        <p>We present an expert system for identifying print artifacts. The system balances between subjective sensitivities of print quality with an evaluation of the objective machine state (which may result in visible print artifacts). For example, fine bands may appear due to the mis-calibration
 of one machine component, while low contrast stains may exist on the same printing due to the state of another component. Different markets have different needs and hence may have different sensitivities to the same two artifacts: Marketing collateral customers may be more sensitive to the
 low contrast stains and less to the fine bands. On the other hand, photo album's customers may be more sensitive to the fine bands, and Direct Mail customers may accept the printing as valid.To achieve this balance, we combine an interactive expert system with an automatic analysis
 of dedicated print jobs. The expert system guides the user in classifying the print artifact according to his subjective sensitivities. Utilizing an inline-scanner enables automatic procedures for the detection of artifacts caused by an objective machine state. Benefits of the system include
 better control of print quality and better use of consumables.</p>
      </abstract>
    </article-meta>
  </front>
</article>
